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A new methodology to define homogeneous regions through an entropy based clustering method
Univ Perugia, DICA, I-06100 Perugia, Italy..
Sapienza Univ Roma, DICEA, Rome, Italy..
Sapienza Univ Roma, DICEA, Rome, Italy..
UNESCO IHE, Hydroinformat Chair Grp, Delft, Netherlands..
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2016 (English)In: Advances in Water Resources, ISSN 0309-1708, E-ISSN 1872-9657, Vol. 96, 237-250 p.Article in journal (Refereed) Published
Abstract [en]

One of the most crucial steps in flow frequency studies is the definition of Homogenous Regions (HRs), i.e. areas with similar hydrological behavior. This is essential in ungauged catchments, as HR allows information to be transferred from a neighboring river basin. This study proposes a new, entropy-based approach to define HRs, in which regions are defined as homogeneous if their hydrometric stations capture redundant information. The problem is handled through the definition of the Information Transferred Index (ITI) as the ratio between redundant information and the total information provided by pairs of stations. The methodology is compared with a traditional, distance-based clustering method through a Monte Carlo experiment and a jack-knife procedure. Results indicate that the ITI-based method performs Well, adding value to current methodologies to define HRs.

Place, publisher, year, edition, pages
2016. Vol. 96, 237-250 p.
Keyword [en]
Regionalization, Similarity measures, Region of influence, Entropy, Flood, Ungauged basins
National Category
Oceanography, Hydrology, Water Resources
URN: urn:nbn:se:uu:diva-307273DOI: 10.1016/j.advwatres.2016.07.007ISI: 000384958100021OAI: oai:DiVA.org:uu-307273DiVA: diva2:1046392
Available from: 2016-11-14 Created: 2016-11-11 Last updated: 2016-11-14Bibliographically approved

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